We analyze a cooperation game in an evolutionary environment. Agents make noisy observations of opponents’ propensity to cooperate, called reputation, and form preferences over opponents based on their reputation. A game takes place when two agents agree to play. Pareto optimal cooperation is evolutionarily stable when reputation perfectly reflects propensity to cooperate. With some reputation noise, there will be at least some cooperation. Individual concern for reputation results in a seemingly altruistic behavior. The degree of cooperation is decreasing in anonymity. If reputation is noisy enough, there is no cooperation in equilibrium.
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Paper provided by Lund University, Department of Economics in its series Working Papers with number
2005:45.
Length: 23 pages Date of creation: 29 Nov 2005 Date of revision: Handle: RePEc:hhs:lunewp:2005_045
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Find related papers by JEL classification: C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
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Rigdon, Mary & McCabe, Kevin & Smith, Vernon, 2001.
"Sustaining cooperation in trust games,"
MPRA Paper
2006, University Library of Munich, Germany, revised 23 Apr 2006.
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